About
Generating data, related to different disciplines, is continually increasing.
Social media, online scientific literature, video material, click and interaction
patterns, financial transactions, customer behavior, sensors and scientific
instrumentation are examples of important data sources. The ability to utilize
data will aid government efficiency, improve healthcare quality, steer innovation
in business, promote more effective law enforcement. Extracting information and
knowledge from data has become a main driving force for scientific discovery and
innovation. We can fully employ these vast amounts of data if we have the
methodologies to store and process it and turn it into valuable and accessible
information. It employs techniques and theories drawn from many fields within the
broad areas of Mathematics, Statistics, Information Sciences, and Computer Science.
At its core, Data Science involves using automated methods to analyze massive
amounts of data and to extract knowledge from them.

What is Data Science? Data science, also known as data-driven science, is an
interdisciplinary field about scientific methods, processes, and systems to
extract knowledge or insights from data in various forms, either structured or
unstructured. It is the study of where information comes from, what it represents
and how it can be turned into a valuable resource in the creation of business and
IT strategies. The key word in Data Science is not “Data”; it is “Science”. Data
science is only useful when the data are used to answer a question. That is the
science part of the equation. Jim Gray, Turing award winner, imagined data
science as a "fourth paradigm" of science beside empirical, theoretical, and
computational science and asserted that "everything about science is changing
because of the impact of information technology and the data deluge”.

IPM is organizing for the first time an advanced data science seminar bringing
together experts from various aspects of data science to provide a series of
topics covering the latest advances in the field of data science. The seminar
will cover scientific topics from Data Science and Search Engines, Visualization
of Data in Data science, Data Science for Business and Marketing, and Data
Science for Bioinformatics. It also covers data science organization talks where
the head of Amsterdam Data Science (ADS) center, a successful center and one of
the main hub of data science in Europe, talk about ADS and how they can collaborate
with IPM Data Science Group. The seminar also covers a round table about the
right path of data science in Iran. The level of seminar will be suitable for
graduate students, young researchers, experts from various fields of science,
and companies who intend to establish interdisciplinary links with the data
science. On this occasion, the participants from the academic and professional
worlds will be able to easily exchange and the meeting of different but
complementary know-how will allow to reflect on the new challenges raised by the
data sciences, and possible solutions will have a chance to emerge.